Combining Metabolite-Based Pharmacophores with Bayesian Machine Learning Models for Mycobacterium tuberculosis Drug Discovery

Integrated computational approaches for Mycobacterium tuberculosis (Mtb) are useful to identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses information derived from the TBCyc pathway and genome database, the Collaborative Drug Discovery TB database combined wit...

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Detalles Bibliográficos
Autores principales: Ekins, Sean, Madrid, Peter B., Sarker, Malabika, Li, Shao-Gang, Mittal, Nisha, Kumar, Pradeep, Wang, Xin, Stratton, Thomas P., Zimmerman, Matthew, Talcott, Carolyn, Bourbon, Pauline, Travers, Mike, Yadav, Maneesh, Freundlich, Joel S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4627656/
https://www.ncbi.nlm.nih.gov/pubmed/26517557
http://dx.doi.org/10.1371/journal.pone.0141076

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4627656/
https://www.ncbi.nlm.nih.gov/pubmed/26517557
http://dx.doi.org/10.1371/journal.pone.0141076

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